Platform
Built for GPU fleets across distributed sites.
The problem
AI inference workloads don't need tightly coupled single-site GPU clusters. Significant compute-ready grid capacity already exists in smaller distributed pockets. No one has built the infrastructure layer that can connect these sites and optimize for energy efficiency, speed, utilization, and throughput in a highly secure environment. Aggregation of distributed grid and compute capacity is the next frontier in AI, and Solyx AI is building the foundation.
What we do
Platform
The routing and placement control plane for distributed GPU inference on the AI Grid. Deployed above bare metal, Solyx routes every request to the right GPU in real time. Works with your existing stack.
ValidatedInfrastructure
Distributed cluster architecture for GPU cloud operators. Site topology, hardware selection, power and networking. Advisory through hands-on buildout.
Built for inference
Agentic AI
Agentic workloads chain inference calls across tools, memory, and decisions. Latency compounds at every step. When a worker goes down, Solyx reroutes automatically — the application never sees a failure.
Real-time inference
User-facing latency is shaped by the slowest request in the queue, not the average. Solyx distributes load based on what each GPU is actually doing, keeping tail latency stable under variable demand.
High-availability
Endpoint failures don’t require operator intervention. Solyx detects degraded or misconfigured replicas in real time and routes around them — whether the cause is a hardware fault, config drift, or a process crash.
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